AlphaFold and the future of structural biology.

Autor: Read RJ; Cambridge Institute for Medical Research, University of Cambridge, The Keith Peters Building, Hills Road, Cambridge CB2 0XY, United Kingdom., Baker EN; School of Biological Sciences, University of Auckland, Auckland, New Zealand., Bond CS; School of Molecular Sciences, University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia., Garman EF; Department of Biochemistry, University of Oxford, Dorothy Crowfoot Hodgkin Building, South Parks Road, Oxford OX1 3QU, United Kingdom., van Raaij MJ; Departamento de Estructura de Macromoleculas, Centro Nacional de Biotecnologia, Consejo Superior de Investigaciones Cientificas, 28049 Madrid, Spain.
Jazyk: angličtina
Zdroj: Acta crystallographica. Section D, Structural biology [Acta Crystallogr D Struct Biol] 2023 Jul 01; Vol. 79 (Pt 7), pp. 556-558. Date of Electronic Publication: 2023 Jul 01.
DOI: 10.1107/S2059798323004928
Abstrakt: This editorial acknowledges the transformative impact of new machine-learning methods, such as the use of AlphaFold, but also makes the case for the continuing need for experimental structural biology.
Databáze: MEDLINE
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